CGT 63700: Creative AI: Machine Learning For Creativity And Design

3 Credits

Fall 2025Lecture
Fall 2025 Instructors(1)
Yingjie Chen

This graduate seminar offers an in-depth exploration into the creative and innovative intersections of artificial intelligence (AI) and machine learning with arts and design. As we witness a surge of breakthroughs in AI, this course aims to uncover the creative potential of new interaction techniques and art forms within these technological advances. Students will delve into how machine learning reshapes disciplines such as computational design, media arts, music, gaming, human-computer interaction, virtual reality, and graphics. The seminar has a dual focus: firstly, surveying the landscape of contemporary creative applications of deep learning across various fields; and secondly, empowering students to conceive and execute their own creative projects that leverage AI technologies. Coursework will be organized around the development of creative AI projects, to be completed either individually or collaboratively in small groups. Prerequisite: CGT 53700 or by permission of instructor.

Course CGT 637 from Purdue University - West Lafayette.

Course Overview

Course GPA

GPA: 3.95
Grade Distribution% of Students
A
A: 95%
B: 5%

Data Averaged From:

Instructors1 instructor
Semesters1 semester

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Fall 2025 Schedule:

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